Peer-reviewed medical publications

Invitation to visit Chronix booth at ASCO. Join us in #TheTurningPointInCancerFight

CNI MONITOR. Developed by doctors for doctors. The new tool for drug efficacy. VISIT US on Chronix Booth #5147 Chronix Biomedical has published recently its results of a blinded prospective clinical trial validating the [...]

Predicting Treatment Outcomes in Immunotherapy

Weiss, G. et al. Tumor Cell-Free DNA Copy Number Instability Predicts Therapeutic Response to Immunotherapy.

Genomic analysis of tissue malignancies is well recapitulated by tumor cell free DNA (cfDNA) using the power of Next Generation Sequencing (NGS).

Predicting Treatment Outcomes in Chemotherapy

Weiss, Glen J., et al. Changes in tumor cell-free DNA copy number instability (CNI) predict therapeutic response in metastatic cancers. Cancer Research 76.14 Supplement (2016): 3138-3138.

Gains and losses of chromosomal regions – as a hallmark of cancer – have been detected in plasma as copy number aberrations (CNAs), and for several cancers a relation to tumor size has been reported.

Prostate Cancer Blood Test

Schütz, E., et al. Chromosomal Instability in Cell-Free DNA Is a Serum Biomarker for Prostate Cancer. Clinical Chemistry 2015; 61: 239-248.

Tumor-specific cell free DNA (cfDNA) present in serum and plasma provides a real-time, easily accessible surrogate. We demonstrated variations in the number of cfDNA sequences circulating in the serum of patients with prostate cancer compared with healthy controls.

Cohort Study in LiverTx

Schütz E. et al. Graft-Derived Cell-Free DNA – a Noninvasive Early Rejection and Graft Damage Marker in Liver Transplantation PlosMed (2017;) doi:10.1371/journal.pmed.1002286

Graft-derived cell-free DNA (GcfDNA), which is released into the blood stream by necrotic and apoptotic cells, is a promising noninvasive organ integrity biomarker.

Rectal Cancer Treatment Outcome Predictions

Beck, J. et al. Comprehensive analyses of rectal cancer genomes to reveal copy number variations as potential predictor of induction therapy efficacy. J ClinOncol 32, 2014 (suppl; abstr e14549).

Genome profiling of individual tumors is provided by high-throughput sequencing and is about to enter routine clinical practice with impact on treatment decisions and tumor classification (NIH [2014] The Cancer Genome Atlas).